Work

Comparison of Association Rule Mining and Crowdsourcing for Automated Generation of a Problem-Medication Knowledge Base

Year: 2012

Type: conference-abstract

Source: IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology

DOI: 10.1109/hisb.2012.50

Authors: Allison B. McCoy, Dean F. Sittig, Adam Wright

Institutions: The University of Texas Health Science Center at Houston, Brigham and Women's Hospital, Harvard University

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Center for Research Resources

OpenAlex ID: W1972908235

Cites:

Cited by: 8

Related to: 10